Artificial intelligence is improving claims speed and consistency, especially for routine cases. The bigger risk is how insurers handle incorrect outputs, exceptions, and edge cases. Without strong controls, AI can scale errors as quickly as it scales efficiency.
For adjusters, oversight remains essential. Non-routine claims require human review, and AI-driven decisions must be explainable to support accountability and compliance. Poor data quality and weak escalation paths can lead to flawed outcomes, even with well-designed models.
The key takeaway is that AI supports claims handling but does not replace judgment. Adjusters who can question outputs, verify data, and escalate issues play a critical role in managing risk and ensuring reliable outcomes.
